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- W3199789943 abstract "Summary Subsurface CO2 level prediction is best performed using a petroleum system model in which the various CO2 formation processes are considered. A major source of uncertainty is the identification of CO2 formation processes and the calibration of the model to known CO2 levels in the area of interest. In the presented approach, the key steps in processing and interpreting archived rock and fluid data to decipher the CO2 formation processes, establish CO2 levels and major controlling factors are described. This approach effectively mitigates the uncertainties associated with predicting subsurface CO2 level." @default.
- W3199789943 created "2021-09-27" @default.
- W3199789943 creator A5014271249 @default.
- W3199789943 date "2021-01-01" @default.
- W3199789943 modified "2023-09-27" @default.
- W3199789943 title "Subsurface CO2 Level Prediction: Workflow, Uncertainties and Mitigation Approach" @default.
- W3199789943 doi "https://doi.org/10.3997/2214-4609.202134359" @default.
- W3199789943 hasPublicationYear "2021" @default.
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